Sunitha Shiva

552 citations
15 papers · 374 · h-index 10

Impact in

    • Lipid metabolism and biosynthesis
    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant responses to water stress

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Photosynthetic Processes and Mechanisms 5
    • Plant biochemistry and biosynthesis 4
    • Plant Gene Expression Analysis 2
    • Lipid metabolism and biosynthesis 11

Sunitha Shiva

14 papers receiving 369 citations

Peers

Sunitha Shiva
Comparison fields: 5 of 53
  • Biochemistry 178
  • Plant Science 188
  • Molecular Biology 240
  • Spectroscopy 29
  • Agronomy and Crop Science 15
Replace Shrikaar Kambhampati with:
Shrikaar Kambhampati United States
Helen K. Woodfield United Kingdom
Neil D. Adhikari United States
Anne‐Marie Justin France
Zhenle Yang China
Silke Jacques Australia
Ana Laura Villasuso Argentina
Igor Pokotylo Ukraine
Pu Chu China
Corné Swart Germany
Sunitha Shiva relative to Shrikaar Kambhampati United States Shrikaar Kambhampati's profile →
Citations per field
00.5×4.8×
Shrikaar Kambhampati · 1×
Citations per year

Countries citing papers authored by Sunitha Shiva

Since Specialization
Citations

This map shows the geographic impact of Sunitha Shiva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunitha Shiva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunitha Shiva more than expected).

Fields of papers citing papers by Sunitha Shiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunitha Shiva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunitha Shiva. The network helps show where Sunitha Shiva may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunitha Shiva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunitha Shiva Line = papers co-authored together Sunitha Shiva links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201488
2 201862
3 202053
4 201337
5 201134
6 201733
7 201318
8 201214
9 202012
10 20149
11 20229
12 20203
13 20221
14 20101
15 20240

About Sunitha Shiva

Sunitha Shiva is a scholar working on Molecular Biology, Biochemistry, Plant Science, Organic Chemistry and Surgery, having authored 15 papers that have together received 374 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (11 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Plant biochemistry and biosynthesis (4 papers), Plant Molecular Biology Research (2 papers), Plant responses to water stress (2 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Biochemistry (178 citations), Plant Science (188 citations), Molecular Biology (240 citations), Spectroscopy (29 citations) and Agronomy and Crop Science (15 citations). Sunitha Shiva has collaborated with scholars based in United States and Germany. Frequent co-authors include Ruth Welti, Mary R. Roth, Pamela Tamura, Hieu Vu, S. V. Krishna Jagadish, Jyoti Shah, Maoyin Li, Kathrin Schrick, Xuemin Wang and Thilani Samarakoon. Their work appears in journals such as Physiologia Plantarum, The Plant Journal, Journal of Biological Chemistry, Plant and Cell Physiology and Cell Stress and Chaperones.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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